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London, Greater London, United Kingdom Genomics England Full time{"title": "Lead Genomic Data Scientist", "description": "Job SummaryWe are seeking a highly skilled Lead Genomic Data Scientist to join our Bioinformatics Consulting team at Genomics England. The successful candidate will lead on a range of cancer genome analysis and interpretation projects, collaborating with external researchers and industrial partners.Key...
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London, Greater London, United Kingdom Genomics England Full time{"title": "Lead Genomic Data Scientist", "description": "Job SummaryWe are seeking a highly skilled Lead Genomic Data Scientist to join our Bioinformatics Consulting team at Genomics England. The successful candidate will lead on a range of cancer genome analysis and interpretation projects, collaborating with external researchers and industrial partners.Key...
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Genomics Data Specialist
2 months ago
About the Role
The Ensembl Project, a leading provider of genome data services, seeks a talented Bioinformatics Developer to contribute to our variation and phenotype resources. We develop tools for data access, visualization, and variant interpretation, including the widely-used Ensembl Variant Effect Predictor (VEP).
Your Responsibilities
- Develop and maintain tools for functional annotation and prioritization of genomics variants, including Ensembl VEP.
- Develop, maintain, and run efficient methods for managing and accessing large-scale variation data for community use and to power the Ensembl websites.
- Investigate and integrate new sources of genomic variation, phenotype association data, and prediction tools.
- Collaborate with members of the wider Ensembl team on development projects and coordinate regular data and software releases.
- Liaise with other groups at EMBL-EBI and external collaborators to add new functionalities to our tools and agree on community standards for data representation.
- Support our users and present our work at internal meetings and scientific conferences.
Your Qualifications
- Experience in the design and development of user-friendly software or code, with proficiency in Python.
- Experience of managing and analyzing large-scale genomics data, preferably genetic variation data.
- Experience working with large-scale relational databases, preferably MySQL.
- Proficiency working in a UNIX/Linux environment.
- Excellent attention to detail and the ability to deliver a high-quality product to agreed deadlines.
- Good communication and interpersonal skills.
- Scientific curiosity and initiative.